Beyond neural data: Cognitive biometrics and mental privacy.

biometrics cognitive biometrics edge computing end-to-end encryption informed consent mental privacy neural data sensitive data

Journal

Neuron
ISSN: 1097-4199
Titre abrégé: Neuron
Pays: United States
ID NLM: 8809320

Informations de publication

Date de publication:
25 Sep 2024
Historique:
received: 21 12 2023
revised: 16 06 2024
accepted: 04 09 2024
medline: 27 9 2024
pubmed: 27 9 2024
entrez: 26 9 2024
Statut: ppublish

Résumé

Innovations in wearable technology and artificial intelligence have enabled consumer devices to process and transmit data about human mental states (cognitive, affective, and conative) through what this paper refers to as "cognitive biometrics." Devices such as brain-computer interfaces, extended reality headsets, and fitness wearables offer significant benefits in health, wellness, and entertainment through the collection and processing and cognitive biometric data. However, they also pose unique risks to mental privacy due to their ability to infer sensitive information about individuals. This paper challenges the current approach to protecting individuals through legal protections for "neural data" and advocates for a more expansive legal and industry framework, as recently reflected in the draft UNESCO Recommendation on the Ethics of Neurotechnology, to holistically address both neural and cognitive biometric data. Incorporating this broader and more inclusive approach into legislation and product design can facilitate responsible innovation while safeguarding individuals' mental privacy.

Identifiants

pubmed: 39326392
pii: S0896-6273(24)00652-4
doi: 10.1016/j.neuron.2024.09.004
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

3017-3028

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests P.M. received travel reimbursement and hospitality in connection with a one-day ethics workshop conducted by Meta. N.F. and M.I. serve on the UNESCO AHEG Committee. The UNESCO draft referred to in this paper was written collectively by the AHEG Committee, to which both N.F. and M.I. contributed as members of the committee. N.F. serves as an advisor to OpenBCI and is the co-chair of the Neuroethics Working Group of the NIH.

Auteurs

Patrick Magee (P)

Duke Initiative for Science & Society, Duke University, Durham, NC, USA.

Marcello Ienca (M)

School of Medicine and Health & TUM School of Social Sciences and Technology, Technical University of Munich (TUM), München, Germany; College of Humanities, Swiss Federal Institute of Technology in Lausanne (EPFL), Lausanne, Switzerland.

Nita Farahany (N)

Duke Initiative for Science & Society, Duke University, Durham, NC, USA; Duke University School of Law, Duke University, Durham, NC, USA. Electronic address: farahany@duke.edu.

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Classifications MeSH